aastha985/Employee_Attrition_Prediction
CSE343, Machine Learning Course Project, IIIT Delhi, Monsoon 2021
This project helps HR managers and business leaders understand why employees might leave their organization. By analyzing employee data, it identifies key factors contributing to attrition and predicts which employees are at risk. The output offers insights to improve retention strategies and enhance workforce planning.
No commits in the last 6 months.
Use this if you need to proactively identify employees at risk of leaving and understand the underlying reasons to improve your retention rates.
Not ideal if you're looking for a plug-and-play software application, as this project requires some technical expertise to set up and run.
Stars
33
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 18, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aastha985/Employee_Attrition_Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
shantanu1109/IBM-HR-Analytics-Employee-Attrition-and-Performance-Prediction
In this project, we enlisted the numerical and categorical attributes present in the publicly...
emso-exe/Analise_de_rh_-_people_analytics
Projeto de people analytics, utilizando machine learning na clusterização de dados de...
PawarMukesh/Employee-Performance-Analysis
The Buisness case of project: Based on given features of dataset we need to predict the...
NeuraXenetica/comport_ai
An HR predictive analytics tool for forecasting the likely range of a worker’s future job...
ShisuiMadara/Karmath
Tool to predict the efficiency of employees in workspace.